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Group: bert_entropy_fnc1

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2023-01-19 08:59:57

Testing: [25/63] eta: 0:00:28 loss: 0.3020 (0.3009) batch_acc: 90.0000 (90.2404) batch_f1: 0.6138 (0.6552) batch_acc_balanced: 0.6431 (0.6707) time: 0.7569 data: 0.0239 max mem: 15195

2023-01-19 09:00:09

/mnt/work/lrauch/miniconda3/envs/uncertainty-evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:2184: UserWarning: y_pred contains classes not in y_true

2023-01-19 09:00:09

warnings.warn("y_pred contains classes not in y_true")

2023-01-19 09:00:15

Testing: [50/63] eta: 0:00:09 loss: 0.2538 (0.2894) batch_acc: 91.2500 (91.0049) batch_f1: 0.6999 (0.6711) batch_acc_balanced: 0.6939 (0.6853) time: 0.7581 data: 0.0242 max mem: 15195

2023-01-19 09:00:17

/mnt/work/lrauch/miniconda3/envs/uncertainty-evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:2184: UserWarning: y_pred contains classes not in y_true

2023-01-19 09:00:17

warnings.warn("y_pred contains classes not in y_true")

2023-01-19 09:00:25

Testing: Total time: 0:00:47

2023-01-19 09:00:25

Epoch [4]: Test Loss: 0.2820, Test Accuracy: 91.3365

2023-01-19 09:00:25

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2023-01-19 09:00:25

[2023-01-19 10:00:23,304][root][INFO] - Evaluation took 0.79 minutes

2023-01-19 09:00:25

[2023-01-19 10:00:23,305][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.28202117198989507, 'test_batch_acc_epoch': 91.3365345894217, 'test_batch_f1_epoch': 0.6766939964854718, 'test_batch_acc_balanced_epoch': 0.69188626917664}

2023-01-19 09:00:25

[2023-01-19 10:00:23,306][root][INFO] - Saving checkpoint for cycle 15

2023-01-19 09:00:29

[2023-01-19 10:00:27,606][root][INFO] - Saving results to /mnt/work/lrauch/glae-results/fnc1/bert/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json

2023-01-19 09:00:29

Saving results to /mnt/work/lrauch/glae-results/fnc1/bert/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.

2023-01-19 09:00:29

[2023-01-19 10:00:28,052][root][INFO] - Experiment took 73.41 minutes